Reasoning · EleutherAI

Pythia 7B on GPQA Diamond: score, rank and what it means

Pythia 7B scores 35.1 on GPQA Diamond, placing it #596 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
35.1
0–100 scale
Rank
#596
of 600
Percentile
1th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
51.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Pythia 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Pythia 7B sits at #596 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 51.9 points. The median model in this index scores 68.8, which puts Pythia 7B below the midpoint.

EleutherAI models average 47.3 on this benchmark. Pythia 7B is 12.2 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 49.3. Pythia 7B is 14.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 35.1 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $0.10 per million input tokens, Pythia 7B is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Pythia 8B EleutherAI 32768 $0.16 41.4
Zephyr 7B Hugging Face 32768 $0.23 42.5
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
Zephyr 1.5B Hugging Face 32768 $0.10 38.0
Pythia 7B EleutherAI 8192 $0.10 40.7
StableLM 2 1.5B Stability AI 16384 $0.13 38.3
GPT-NeoX 1.5B EleutherAI 32768 $0.06 36.4

Other benchmarks for Pythia 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.4 592 1th
SWE-bench Verified 26.8 589 2th
HumanEval 42.9 593 1th
MATH-500 42.3 589 2th
AIME 2025 24.1 596 1th
LiveCodeBench 25.9 591 2th
IFEval 52.4 595 1th
TruthfulQA 47.1 597 1th
HellaSwag 61.7 593 1th
MMMU 38.7 597 1th
Arena Elo 1137.4 588 2th

FAQ

What score does Pythia 7B get on GPQA Diamond?

Pythia 7B scores 35.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Pythia 7B rank on GPQA Diamond?

It ranks #596 of 600 models, in the 1st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Pythia 7B good at GPQA Diamond?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the GPQA Diamond score calculated?

GPQA Diamond is a reasoning benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Pythia 7B cost?

Pythia 7B costs $0.10 per million input tokens and $0.36 per million output tokens.

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